Open X-Embodiment (robotics dataset)
Open X-Embodiment is a comprehensive robotics dataset designed for advancing research in embodied AI and robotics applications.
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Open X-Embodiment is a comprehensive robotics dataset designed for advancing research in embodied AI and robotics applications.
CIFAR-100 is a dataset widely used in machine learning and computer vision, consisting of 60,000 images across 100 classes.
CIFAR-10 is a widely used dataset in machine learning for image classification, consisting of 60,000 32×32 color images in 10 different classes.
enwik9 is a well-known dataset utilized in machine learning and natural language processing tasks, particularly for training language models.
XNLI is a dataset designed for natural language inference tasks, providing multilingual support and evaluation metrics for model performance.
EPIC-KITCHENS is a large-scale egocentric video dataset designed for action recognition and video understanding in kitchen environments.
LibriSpeech is a widely used dataset for training and evaluating automatic speech recognition systems, derived from audiobooks.
WebQuestions is a dataset for evaluating question answering systems, focusing on open-domain questions and their corresponding answers from Wikipedia.
The Speech Commands dataset is a collection of audio recordings used for training and evaluating speech recognition systems. It contains various spoken commands.
Argoverse is a comprehensive dataset designed for motion forecasting in autonomous vehicles, featuring diverse scenarios and high-quality annotations.